[Feature] Model Calibration, Logistic Regression

[ErikBavenstrand]

Is your feature request related to a problem? Please describe.
Currently, the mleko library does not support model calibration. This is a problem when trying to improve the reliability of probability estimates in models such as Logistic Regression.

Describe the solution you'd like
I would like a feature to be added that supports model calibration. Initially, adding support for Logistic Regression would be sufficient. Ideally, this would be implemented via Platt Scaling.

Describe alternatives you've considered
An alternative solution would be to manually implement Platt Scaling outside of the mleko library. However, this is less efficient and would require extra work for each project.

Additional context
Model calibration can improve the reliability of probability estimates, which is crucial in many Machine Learning applications. Therefore, adding this feature would greatly enhance the utility of the mleko library.